Abstract
In the problem of identifying speech sounds by means of measurable acoustical parameters, it appears that no single parameter can give a reliable identification. Hence, the statistical techniques of discriminatory analysis are appropriate to determine the optimum combination of several parameters. These techniques have been applied to the identification of vowels, where the parameters used are those fractions of the total power which are contained in certain selected frequency channels. For these parameters, a statistical distribution related to the multinomial has been assumed. This leads to a simple linear classification function whose coefficients are the logarithms of the mean values of the respective parameters. Preliminary results have been obtained which show considerable success in identifying vowels.
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